rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Multifractals and Chronic Diseases of the Central Nervous System
  name:
    name part: Ghosh, Dipak.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Samanta, Shukla.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Chakraborty, Sayantan.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: si
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XX, 182 p. 77 illus., 51 illus. in color. online resource.
  abstract: This book primarily focuses on the study of various neurological disorders, including Parkinson's (PD), Huntington (HD), Epilepsy, Alzheimer's and Motor Neuron Diseases (MND) from a new perspective by analyzing the physiological signals associated with them using non-linear dynamics. The development of nonlinear methods has significantly helped to study complex nonlinear systems in detail by providing accurate and reliable information. The book provides a brief introduction to the central nervous system and its various disorders, their effects on health and quality of life, and their respective courses of treatment, followed by different bioelectrical signals like those detected by Electroencephalography (EEG), Electrocardiography (ECG), and Electromyography (EMG). In turn, the book discusses a range of nonlinear techniques, fractals, multifractals, and Higuchi's Fractal Dimension (HFD), with mathematical examples and procedures. A review of studies conducted to date on neurological disorders like epilepsy, dementia, Parkinson's, Huntington, Alzheimer's, and Motor Neuron Diseases, which incorporate linear and nonlinear techniques, is also provided. The book subsequently presents new findings on neurological disorders of the central nervous system, namely Parkinson's disease and Huntington's disease, by analyzing their gait characteristics using a nonlinear fractal based technique: Multifractal Detrended Fluctuation Analysis (MFDFA). In closing, the book elaborates on several parameters that can be obtained from cross-correlation studies of ECG and blood pressure, and can be used as markers for neurological disorders. .
  table of contents: Chapter 1. Introduction -- Chapter 2. Multifractal study of EEG signal of subjects with Epilepsy and Alzheimer's -- Chapter 3. Multifractal Approach for Quantification of Autonomic Deregulation due to Epileptic Seizure with ECG data -- Chapter 4. Multifractal Analysis of Electromyography data.-Chapter 5. Multifractal study on Parkinson's and Huntington diseases with human gait data -- Chapter 6. Multifractal correlation study between posture and autonomic deregulation using ECG and blood pressure data -- Chapter 7. Appendix.
  note: by Dipak Ghosh, Shukla Samanta, Sayantan Chakraborty.
  subject:
    topic: Biomedical engineering
  subject:
    topic: Neurosciences
  subject:
    topic: Radiology
  subject:
    topic: Biomathematics
  subject:
    topic: Neurology
  subject:
    topic: Biomedical Engineering/Biotechnology
  subject:
    topic: Neurosciences
  subject:
    topic: Diagnostic Radiology
  subject:
    topic: Mathematical and Computational Biology
  subject:
    topic: Neurology
  classification: R856-R857
  classification: 610.28
  related item:
    title info:
      title: Springer eBooks
  identifier: 9789811335525
  identifier: https://doi.org/10.1007/978-981-13-3552-5
  record info:
    record creation date: 190124
    record change date: 20191023231411.0
    record identifier: 978-981-13-3552-5